\hypertarget{classpgpr__ppitc}{\section{pgpr\+\_\+ppitc Class Reference}
\label{classpgpr__ppitc}\index{pgpr\+\_\+ppitc@{pgpr\+\_\+ppitc}}
}


This class provides the regression function using P\+I\+T\+C Approximation,implemented in a parallel manner.  




{\ttfamily \#include $<$pgpr\+\_\+ppitc.\+h$>$}

\subsection*{Public Member Functions}
\begin{DoxyCompactItemize}
\item 
\hypertarget{classpgpr__ppitc_a657669cbcb5919400802afeee866de17}{{\bfseries pgpr\+\_\+ppitc} (Char $\ast$hypf)}\label{classpgpr__ppitc_a657669cbcb5919400802afeee866de17}

\item 
\hypertarget{classpgpr__ppitc_aa72c1ee9f5004f7c97920793be7246dd}{Int {\bfseries regress} (Char $\ast$train, Char $\ast$test, Char $\ast$support, Int blocks)}\label{classpgpr__ppitc_aa72c1ee9f5004f7c97920793be7246dd}

\item 
\hypertarget{classpgpr__ppitc_ad00170745bce09f304adffbfe5d09cd2}{void {\bfseries output\+Rst} (Char $\ast$output)}\label{classpgpr__ppitc_ad00170745bce09f304adffbfe5d09cd2}

\end{DoxyCompactItemize}


\subsection{Detailed Description}
This class provides the regression function using P\+I\+T\+C Approximation,implemented in a parallel manner. 

The documentation for this class was generated from the following file\+:\begin{DoxyCompactItemize}
\item 
src/\hyperlink{pgpr__ppitc_8h}{pgpr\+\_\+ppitc.\+h}\end{DoxyCompactItemize}
